A class of interacting multiple model (IMM) estimators are regarded as one kind of instrumental tool to estimate the state of jump Markov systems, in which the overall estimate only can be considered as output. In this paper, the overall estimate is used to design output reference learning terms in the IMM estimator and they are utilized to update the mode-conditioned estimates recursively. Finally, simulations are presented to testify the validity of proposed estimator.


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    Titel :

    Interacting Multiple Model Estimator with Output Reference Learning


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Li, Wenling (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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